Worldwide Specialist SA - GenAI , Data & AI GTM

Amazon; Dallas (TX); On-site; USD 131,000 - 178,000; Full time

Job summary

Amazon is seeking AWS Agentic AI Specialist SAs to help define GTM strategies and craft scalable cloud architectures using Agentic AI services. The role involves guiding customers through refactoring and building new cloud solutions with AI assistants, while influencing feature development and product roadmaps.

The team values diverse experience and thought leadership, offering mentorship, career growth, and a flexible work culture within AWS.

Qualifications

• 3+ years in technology domains (software, cloud, infrastructure, security, data)
• 3+ years in design, implementation, or consulting for applications and infrastructures
• Hands-on experience building agentic AI assistants
• 3+ years end-to-end architecture, deployment and operations for Generative AI/ML platforms
• Proficient with design, deployment, and evaluation of LLM-powered agents and orchestration

Skills

Domain expertise

Architectural design

Agentic AI orchestration

Generative AI platforms

Public speaking

Job description

Do you want to help define the future of Go to Market (GTM) at AWS using Agentic AI? AWS Specialist Solutions Architects(SSAs) are technologists with deep domain-specific expertise, able to address advanced concepts and feature designs. As part of the AWS sales organization, SSAs work with customers who have complex challenges that require expert-level knowledge to solve. SSAs craft scalable, flexible, and resilient technical architectures that address those challenges. This might involve guiding customers as they refactor an application or designing entirely new cloud-based systems using AWS Agentic AI services such as Amazon Quick. Do you enjoy solving novel and unique technical challenges for customers? Become an AWS Agentic AI Specialist SA!

Key job responsibilities

• Represent the voice of the customer; bring customer feedback to product teams to influence feature development and future product roadmap.
• Provide advanced technical knowledge to your domain aligned GTM teams to unblock our customers’ largest and most critical business challenges.
• Act as a thought leader sharing best practices through forums such as AWS blogs, whitepapers, reference architectures and public-speaking events such as AWS Summit, AWS re: Invent, etc.
• Partner with Business Development teams to define the technical components of best in class GTM concepts, solutions, and initiatives.
• Develop and support an AWS internal community of technical subject matter experts worldwide. Create field enablement materials for the broader SA population, to help them understand how to integrate Amazon Web Services solutions into customer architectures.

About the team

Diverse Experiences

AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

Why AWS?

Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Inclusive Team Culture

AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.

Mentorship & Career Growth

We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Work/Life Balance

We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

• USA, NY, New York - 144,500.00 - 195,400.00 USD annually
• USA, TX, Dallas - 131,300.00 - 177,600.00 USD annually
• USA, WA, Bellevue - 131,300.00 - 177,600.00 USD annually

Basic Qualifications

• 3+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
• 3+ years of design, implementation, or consulting in applications and infrastructures experience
• Hands-on experience building agentic AI assistants
• 3+ years of experience in end to end technical architecture, design, deployment and operations for Generative AI/ML platforms and applications
• Proficient with design, deployment, and evaluation of LLM-powered agents and tools and orchestration approaches.

Preferred Qualifications

• Experience working with end user or developer communities